Key Industries & Applications in the Global Deep Learning Market Over the years, deep learning has emerged as a transformative technology, revolutionizing the way various industries operate. Accordingly, the domain has become instrumental in the field of data analysis, predictive modeling, and process optimization. As per Inkwood Research, the global deep learning market is anticipated to grow with a CAGR of 39.67% during the forecast period 2023-2032.
In this blog, we will explore how major industries are leveraging the potential of deep learning in order to drive innovation and efficiency in their operations. We will also highlight real-world examples of successful deep learning applications in each of these industries.
1. Healthcare Healthcare organizations of all specialties and types are becoming increasingly inclined toward how artificial intelligence (AI) can facilitate better patient care, while improving efficiencies and reducing costs. In this regard, the healthcare industry has been at the forefront of adopting deep learning for a wide range of applications, such as –
Medical Imaging: Deep learning algorithms have significantly improved the accuracy of medical image analysis. For instance, Aidoc (Israel), a leading provider of AI-powered radiology solutions, aims to improve the efficacy as well as accuracy of radiology diagnoses. The company’s platform utilizes deep learning algorithms in order to analyze medical images and aid radiologists in prioritizing and detecting critical findings. Drug Discovery: Pharmaceutical companies are using deep learning to expedite drug discovery processes. Insilico Medicine (United States), for example, employs deep learning models to predict potential drug candidates, reducing the time and cost associated with